The Next Release of CCSM: IPCC and Community Applications

Slides:



Advertisements
Similar presentations
Basics of numerical oceanic and coupled modelling Antonio Navarra Istituto Nazionale di Geofisica e Vulcanologia Italy Simon Mason Scripps Institution.
Advertisements

Addition of the CLM3 Land- Surface Model to WRF Jimy Dudhia (MMM/NCAR) Ruby Leung (PNNL) Tom Henderson (MMM/NCAR) Mariana Vertenstein (CGD/NCAR) Gordon.
Development of the Regional Arctic Climate System Model (RACM) --- Department of Civil and Environmental Engineering University of Washington Dec, 2009.
Circulation in the atmosphere
Climate modeling Current state of climate knowledge – What does the historical data (temperature, CO 2, etc) tell us – What are trends in the current observational.
Clouds and Climate: Cloud Response to Climate Change SOEEI3410 Ken Carslaw Lecture 5 of a series of 5 on clouds and climate Properties and distribution.
Climate Forcing and Physical Climate Responses Theory of Climate Climate Change (continued)
Clouds and Climate: Cloud Response to Climate Change ENVI3410 : Lecture 11 Ken Carslaw Lecture 5 of a series of 5 on clouds and climate Properties and.
Disko Bay, Greenland - 624,000 cubic miles of ice; 10% of Earth’s fresh water.
Hydrology in Land Surface Models Jessie Cherry International Arctic Research Center & Institute of Northern Engineering.
WRF-VIC: The Flux Coupling Approach L. Ruby Leung Pacific Northwest National Laboratory BioEarth Project Kickoff Meeting April 11-12, 2011 Pullman, WA.
GLOBAL PATTERNS OF THE CLIMATIC ELEMENTS: (1) SOLAR ENERGY (Linked to solar insolation & R, net radiation)
Lecture 6: The Hydrologic Cycle EarthsClimate_Web_Chapter.pdfEarthsClimate_Web_Chapter.pdf, p. 10, 16-17, 21, 31-32, 34.
Distinct properties of snow
CCSM Meeting June 23-27, 2003 Status of CCSM2.2 Bill Collins Incoming Chair, CCSM Scientific Steering Committee National Center for Atmospheric Research.
CryosPheric responses to Anthropogenic PRessures in the HIndu Kush-Himalaya regions: impacts on water resources and society adaptation in Nepal DHM Centre.
Coupled Climate Models OCEAN-ATMOSPHEREINTERACTIONS.
EGU General Assembly C. Cassardo 1, M. Galli 1, N. Vela 1 and S. K. Park 2,3 1 Department of General Physics, University of Torino, Italy 2 Department.
Land Surface Processes in Global Climate Models (1)
Coupling of the Common Land Model (CLM) to RegCM in a Simulation over East Asia Allison Steiner, Bill Chameides, Bob Dickinson Georgia Institute of Technology.
A Subgrid Orography Scheme: Ready for Prime Time Steven Ghan and Tim Shippert Pacific Northwest National Lab Ghan, S. J., X. Bian, A. G. Hunt, and A. Coleman,
Status of the Sea Ice Model Testing of CICE4.0 in the coupled model context is underway Includes numerous SE improvements, improved ridging formulation,
Chapter 3 cont. (Heat & Temperatures). Heat & Temperature Basics temperature: the energy of molecular movement heat: a measure of the amount of energy.
CCSM Atmospheric Model Working Group Summary J. J. Hack, D. A Randall AMWG Co-Chairs CCSM Workshop, 28 June 2001 CCSM Workshop, 28 June 2001.
CCSM Atmospheric Model Working Group Report J. J. Hack, D. A Randall AMWG Co-Chairs CCSM 2001 Workshop, Breckenridge CCSM 2001 Workshop, Breckenridge.
AMWG Breakout, CCSM Workshop June 25, 2002 Overview of CAM status and simulations Bill Collins and Dave Randall National Center for Atmospheric Research.
Boundary Layer Clouds.
Workshop on Tropical Biases, 28 May 2003 CCSM CAM2 Tropical Simulation James J. Hack National Center for Atmospheric Research Boulder, Colorado USA Collaborators:
The GEOS-5 AOGCM List of co-authors Yury Vikhliaev Max Suarez Michele Rienecker Jelena Marshak, Bin Zhao, Robin Kovack, Yehui Chang, Jossy Jacob, Larry.
Colloquium on Climate and Health 17 July 2006 An Introduction to Climate Models: Principles and Applications William D. Collins National Center for Atmospheric.
Contribution of MPI to CLIMARES Erich Roeckner, Dirk Notz Max Planck Institute for Meteorology, Hamburg.
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5 Yi-Chih Huang.
Ocean Climate Simulations with Uncoupled HYCOM and Fully Coupled CCSM3/HYCOM Jianjun Yin and Eric Chassignet Center for Ocean-Atmospheric Prediction Studies.
Presented by LCF Climate Science Computational End Station James B. White III (Trey) Scientific Computing National Center for Computational Sciences Oak.
Joint AMWG/CVWG Workshop March 6-7, 2003 Improvements in Radiation Processes Bill Collins Andrew Conley, David Fillmore, Julia.
The Water Cycle. Think About It: Why is there humidity? There is moisture in the air. Why is there moisture in the air? It evaporates from lakes and oceans.
March 31, 2004BGC Working Group Interactive chemistry in CAM Jean-François Lamarque, D. Kinnison and S. Walters Atmospheric Chemistry Division NCAR.
CCSM AMWG Meeting June 25, 2003 Status of CAM Bill Collins and Leo Donner National Center for Atmospheric Research and Geophysical Fluid Dynamics Laboratory.
Atmosphere-ocean interactions Exchange of energy between oceans & atmosphere affects character of each In oceans –Atmospheric processes alter salinity.
Upgrading Community Land Model (CLM) Hydrology Incorporation of the VIC Surface Runoff and Baseflow Schemes Kaiyuan Y. Li and Dennis P. Lettenmaier University.
AMWG Meeting April 3-4, 2002 Overview of CAM status and simulations Bill Collins and Jim Hack National Center for Atmospheric Research Boulder, Colorado.
March 9, 2004CCSM AMWG Interactive chemistry in CAM Jean-François Lamarque, D. Kinnison S. Walters and the WACCM group Atmospheric Chemistry Division NCAR.
Status of CAM, March 2004 Phil Rasch. Differences between CAM2 and CAM3 (standard physics version) Separate liquid and ice phases Advection, sedimentation.
Coupling ROMS and CSIM in the Okhotsk Sea Rebecca Zanzig University of Washington November 7, 2006.
Overview of the CCSM CCSM Software Engineering Group June
Towards development of a Regional Arctic Climate System Model ---
Community Land Model (CLM)
A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5
Climate Change Climate change scenarios of the
Surface Energy Budget, Part I
Jeffrey T. Kiehl CCSM Scientific Steering Committee Chairman
GFDL Climate Model Status and Plans for Product Generation
Fig. 2 shows the relationship between air temperature and relative humidity. 2 (a) (i) Describe the relationship shown in Fig. 2. [3] (ii) State.
Performance of the VIC land surface model in coupled simulations
The NCAR Community Climate System Model (CCSM)
Initial Implementation of VIC within CCSM System through CPL7
National Center for Atmospheric Research
Fig. 2 shows the relationship between air temperature and relative humidity. (a) (i) Describe the relationship shown in Fig. 2. [3] (ii) State.
CCSM3’s IPCC Simulations and Lessons Learned
Update on CAM and the AMWG. Recent activities and near-term priorities. by the AMWG.
Modeling the Atmos.-Ocean System
Highlights from CCSM3’s Special Issue of the Journal of Climate
Composition, Structure, & Heat Budget
Update on CAM2.X Development and Future Research Directions
Chapter 3 cont. (Heat & Temperatures)
Short Term forecasts along the GCSS Pacific Cross-section: Evaluating new Parameterizations in the Community Atmospheric Model Cécile Hannay, Dave Williamson,
VOCALS Open Ocean: Science and Logistics
Soil hydrology soil moisture variability problem; interim solution
J.T. Kiehl National Center for Atmospheric Research
Climate Integrated Science 1.
Presentation transcript:

The Next Release of CCSM: IPCC and Community Applications Bill Collins National Center for Atmospheric Research Boulder, Colorado

Development History of CCSM June 1996 New ocean, land, sea-ice models New physics in atmosphere CCSM 2.0 May 2002 New physics in all models CCSM 3.0 Winter 2003

Configuration of CCSM for IPCC Atmosphere (CAM 3.0) T85 (1.4o) Land (CLM2.2) T85 (1.4o) Sea Ice (CSIM 4) (1o) Coupler (CPL 6) Ocean (POP 1.4.3) (1o)

Component Models in CCSM Atmosphere Multiple dynamical cores: SLD, Eulerian, & Finite Volume Generalized 2D decomposition of grid Resolutions with most heritage: T31, T42, and T85 (L26) Ocean Derivative of LANL Parallel Ocean Program Grid: spherical in S. hemisphere, orthogonal curvilinear in N. hemisphere Standard resolution: 320 x 384 (L40) Land Surface Superset of NCAR LSM and Georgia Tech BATS Same horizontal resolution as atmosphere 10 layers for soil, up to 5 for snowpack Sea Ice Up to 5 categories of sea-ice thickness

Atmospheric Dynamics and Resolution Goal for IPCC: T85 (1.4o) or equivalent FV resolution Improved resolution for regional impact studies Improved resolution for fidelity in coastal stratus regions Recommendation on atmospheric dynamics: Eulerian for standard IPCC scenario applications Finite Volume for future development and experimentation Goal for CCSM: Single physics package for multiple dynamics & resolutions: T85 11 T42 22.5 T31 …. IPCC AMWG, CVWG, Paleo, … Resolution BGCWG Dynamics

Main Model Biases in CCSM2 Overestimation of winter land surface temperatures Bias largely eliminated in new CLM and CAM Underestimation of tropical tropopause temperatures Bias reduced in new CAM Erroneous cloud response to SST changes Signs and pattern of response corrected in new CAM Errors in E. Pacific surface energy budget Stress, latent heat flux, and insolation better in T85 CAM Double ITCZ and extended cold tongue Cold tongue mitigated in new POP Underestimation of tropical variability Underestimation still present

Winter Land Surface Temperatures

Tropical Tropopause Temperatures

Cloud Forcing Response to Tropical SSTs

East Pacific Surface Energy Budget

Double ITCZ

Tropical Variability

Ocean Model Changes for CCSM 3.0 KPP boundary layer Solar Absorption (Chlorophyll) Double Diffusion Ideal Age and Passive Tracer Infrastructure Ocean Currents in Air-Sea Fluxes

Mixed Layer Depths CONTROL All Physics + Numerical MODS Jan July

SST Signature of Solar Absorption

SST Signature of All Ocean Modifications

Land Model Working Group Goal For CCSM2: state-of-the-art model with focus on biogeophysics, hydrology, river routing Goal For Next Few Years: Natural and human-mediated changes in land cover and ecosystem functions and their effects on climate, water resources, and biogeochemistry Process: Continue to develop and improve existing physical parameterizations in the model while adding new biological and chemical process Biogeophysics Hydrology Latent Heat Flux Sensible Heat Flux Photosynthesis ua Momentum Flux Wind Speed Precipitation Diffuse Solar Radiation Longwave Radiation Evaporation Interception Canopy Water Direct Solar Radiation Transpiration Reflected Solar Radiation Emitted Long- wave Radiation Throughfall Stemflow Absorbed Solar Radiation Sublimation Evaporation Infiltration Surface Runoff Melt Snow Soil Heat Flux Soil Water Heat Transfer Redistribution Drainage

Model Development for new CLM Biogeochemistry Goal: Enable parameterization of terrestrial carbon cycle New hierarchical data structures within a grid cell: grid cell  land unit  snow/soil columns  plant functional types. Does not change climate. Allow multiple plant types on a single soil column. Minor climate changes. Biogeophysics I Goal: Minor changes or bug fixes Allow precipitation to be rain/snow mix Improve 2-m temperature diagnostic Remove discontinuity in bulk density of snow Biogeophysics II Goal: Reduce excessive summertime temperatures in arid regions. Reduce Arctic winter warm temperature bias Turbulent exchange of heat from ground

Turbulent Heat Flux from Vegetated Surfaces CLM2.2 CLM2

Effects on Land Surface Temperatures CLM2.2 CLM2 22-year (1979-2000) simulations of CAM2 with CLM2.2 CLM2.2 significantly cools surface air temperature

Changes to Physics in CAM3 Clouds and condensate: Improved prognostic cloud water & moist processes Transfer of mixed phase precipitation to land surface Improved cloud parameterization Radiation: Shortwave forcing by diagnostic aerosols Updated SW scheme for H2O absorption Updated LW scheme for LW absorption and emission Surface models: Introduction of CLM 2.2 Reintroduction of Slab Ocean Model (SOM) Energy fixers for dynamics + diagnostics

Increased Cloud Condensate CAM 3 CAM 2 Separate cloud liquid and ice variables Advect cloud condensate Include latent heat of fusion Use ice & water variables for cloud optics New dependence on temperature for cirrus particle size Sedimentation of cloud droplets and ice particles Modified evaporation of rain CAM 3 – CAM 2

Increased Cloud Amounts CAM 3 CAM 2 PBL height constrained Rain rate > 0 Convection cloud amounts from convective mass fluxes Stratocumulus clouds in lowest 2 levels Changes to autoconversion thresholds Changes to relative humidity thresholds Fall speed of droplets is function of effective radius CAM 3 – CAM 2 NETTOA = 4.5 Wm2 NETTOA = 0.53 Wm2

Global Aerosol Assimilation Climatology 1995-2000 Aerosol Assimilation AVHRR Analysis Aerosol Forcing Analysis NCAR CAM Climate Impacts

Addition of Prescribed Aerosol Forcing

Changes in Longwave Cooling Rates: New H2O Lines and Continuum Change in LBL Cooling Change in CAM Cooling

Global Decrease in Longwave Fluxes

Changes in Shortwave Heating Rates: New H2O Lines and Continuum Tropics LBL Heating CAM2 Heating CAM2x Heating

Global Increase in SW Heating Rates

Global Decrease in Surface Insolation

Higher Tropopause Temperatures CAM 3 CAM 2 CAM 3 – CAM 2

Lower Winter Land Surface Temperatures CAM 3 CAM 2 CAM 3 – CAM 2

Cloud Response to Tropical SST Variations

Changes in Coupler & the Sea-Ice Model Improved performance and scaling Greater flexibility to add new fields Significant DOE communication infrastructure Faster multi-way communication to components Sea Ice Horizontal advection scheme Addition of constant salinity in sea ice Updates to albedos of snow and sea ice Updates to ridging for thick ice categories

Surface Temperatures: CCSM T85 Control

Sea-Ice Area: CCSM T85 Control

Sea-Ice Thickness: CCSM T85 Control

Land Surface Temperatures: T85 Control

Tropical Surface Stress: T85 Control

Surface Insolation: CCSM T85 Control

ENSO Variability: CCSM T85 Control

Nino Index Variability: CCSM T85 Control

Changing Resolution: Surface Stress

Changing Resolution: Surface Insolation

Changing Resolution: Total Precipitation

Changing Resolution: Sea-Surface Temperature

Changing Resolution: Pacific Temperature

Changing Resolution: Surface Salinity

Changing Resolution: Pacific Salinity

Changing Resolution: Pacific Currents

Decision Schedule for IPCC Recommendation for IPCC configuration: CCSM Scientists’ Meeting, Nov. 12 Data for decision: T85 integrations for 3 options of 50+ years T85 SOM integrations for 1x, 2xCO2 T85 AMIP/warm-cold integrations (ENSO) Analogous data for T42 Final evaluation and decision for IPCC: SSC Meeting, Nov. 18-19

Release of CCSM3 to the Community Contents of release: Model physics: all components = IPCC Model data sets: controls for T31,T42, & T85 Technical documentation Schedule for release: Winter 2004 Documentation in literature: J. Climate special issue? Release of IPCC model data sets?

Climate Sensitivity: T42 CAM + SOM

IPCC Schedule

Scenarios: IPCC Fourth Assessment Report

NCAR’s IPCC Production Schedule CCSM Execution Speed on NCAR IBM: T42 ATM: 10.9 years/day T85 ATM: 4.3 years/day

Development Plans for CCSM, 2004-08

CCSM: The Next Two Years Roadmap to the future Climate sensitivity from IPCC studies Process studies from GFDL collaboration, CPTs Studies of higher resolution and “benchmark” calculations News physics/dynamics from Science Plan Integration of climate and chemistry Ocean and land biogeochemistry Prognostic aerosols Tropospheric chemistry WACCM Tracers

The Evolution of CCSM

Computational Demands for CCSM Science

Conclusions A new version of CCSM is ready for IPCC Features of CCSM3: Improvements in component physics Ability to run with multiple resolutions, dycores Issues for the near future: Final decisions regarding model configuration Definition of public release Completion and analysis of IPCC integrations Integration of coupled carbon-climate experiments Issues for the longer term: Addition of new scientists in emerging focal areas Access to significant new computational resources

Sea-Ice Concentration: CCSM T85 Control

Changing Resolution: Arctic Salinity

Changing Resolution: Temperature Cycle